The shift from "talking" to "thinking" is quietly changing the AGI timeline

Has anyone else noticed that the biggest AI labs have almost completely stopped bragging about raw parameter counts lately? For the last couple of years, the path to AGI seemed pretty simple: just buy GPUs, build a bigger data center, and feed the model internet text. But watching the recent research trends, it feels like the industry is realizing that just predicting the next word is hitting a hard limit. LLMs are amazing at talking and sounding human, but they don't actually plan or solve strict logic The new frontier isn't just making bigger text generators.